A system for recommending colleges to HSC appointees using slope one algorithm
| Autor: | Moqsadur Rahman, Sheikh Nabil Mohammad, Summit Haque |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Slope One
education.field_of_study Computer science Population Decision tree 02 engineering and technology Recommender system Data modeling 020204 information systems ComputingMilieux_COMPUTERSANDEDUCATION 0202 electrical engineering electronic engineering information engineering Mathematics education Collaborative filtering 020201 artificial intelligence & image processing Construct (philosophy) education |
| Zdroj: | 2017 20th International Conference of Computer and Information Technology (ICCIT). |
| Popis: | With the expansion of population, the growing number of students are inducing an increase in the number of educational institutions in Bangladesh. Every year, lots of students, after passing their SSC examination, are in a quandary to choose a suitable college. Is it possible to mitigate their tribulation by helping them to choose their suitable college? Is there any prospect of building a recommender system that will suggest a list of suitable college to a student? What are the facts that can be used to measure the effectiveness of a college for a student? In this study, we worked to build such a recommender system. We figured out some facts that are efficacious to construct a sorted list of colleges according to their suitability for a particular student. To build the recommender system, user-based and item-based collaborative filtering methods have been used. Students are categorized according to their performance in SSC examination, group, gender, spatial information etc. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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